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Maziar Sanjabi
Maziar Sanjabi
Meta AI
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Citirano
Citirano
Godina
Federated Optimization in Heterogeneous Networks
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2018
62262018
Federated multi-task learning
V Smith, CK Chiang, M Sanjabi, AS Talwalkar
Advances in neural information processing systems 30, 2017
23022017
Fair resource allocation in federated learning
T Li, M Sanjabi, A Beirami, V Smith
arXiv preprint arXiv:1905.10497, 2019
10032019
Solving a class of non-convex min-max games using iterative first order methods
M Nouiehed, M Sanjabi, T Huang, JD Lee, M Razaviyayn
Advances in Neural Information Processing Systems 32, 2019
4022019
Linear Transceiver Design for Interference Alignment: Complexity and Computation
M Razaviyayn, M Sanjabi, ZQ Luo
IEEE Transactions on Information Theory ( Volume: 58 , Issue: 5 , May 2012 …, 2012
2032012
Linear transceiver design for interference alignment: Complexity and computation
M Razaviyayn, M Sanjabi Boroujeni, ZQ Luo
Signal Processing Advances in Wireless Communications (SPAWC), 2010 IEEE …, 2010
2032010
Feddane: A federated newton-type method
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smithy
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1227-1231, 2019
1962019
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
M Sanjabi, B Jimmy, M Razaviyayn, JD Lee
Advances in Neural Information Processing Systems, 7088--7098, 2018
1862018
Federated learning with partial model personalization
K Pillutla, K Malik, AR Mohamed, M Rabbat, M Sanjabi, L Xiao
International Conference on Machine Learning, 17716-17758, 2022
1832022
Tilted empirical risk minimization
T Li, A Beirami, M Sanjabi, V Smith
arXiv preprint arXiv:2007.01162, 2020
1582020
Nonconvex min-max optimization: Applications, challenges, and recent theoretical advances
M Razaviyayn, T Huang, S Lu, M Nouiehed, M Sanjabi, M Hong
IEEE Signal Processing Magazine 37 (5), 55-66, 2020
1312020
Where to begin? on the impact of pre-training and initialization in federated learning
J Nguyen, J Wang, K Malik, M Sanjabi, M Rabbat
arXiv preprint arXiv:2206.15387, 2022
1172022
A stochastic successive minimization method for nonsmooth nonconvex optimization with applications to transceiver design in wireless communication networks
M Razaviyayn, M Sanjabi, ZQ Luo
Mathematical Programming 157, 515-545, 2016
1132016
Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight?
E Song, Q Shi, M Sanjabi, RY Sun, ZQ Luo
EURASIP Journal on Wireless Communications and Networking 2012, 1-11, 2012
982012
Optimal joint base station assignment and beamforming for heterogeneous networks
M Sanjabi, M Razaviyayn, ZQ Luo
IEEE Transactions on Signal Processing 62 (8), 1950-1961, 2014
822014
Accelerated alternating direction method of multipliers
M Kadkhodaie, K Christakopoulou, M Sanjabi, A Banerjee
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
722015
Cross-layer provision of future cellular networks: A WMMSE-based approach
H Baligh, M Hong, WC Liao, ZQ Luo, M Razaviyayn, M Sanjabi, R Sun
IEEE Signal Processing Magazine 31 (6), 56-68, 2014
562014
On tilted losses in machine learning: Theory and applications
T Li, A Beirami, M Sanjabi, V Smith
Journal of Machine Learning Research 24 (142), 1-79, 2023
502023
Unirex: A unified learning framework for language model rationale extraction
A Chan, M Sanjabi, L Mathias, L Tan, S Nie, X Peng, X Ren, H Firooz
International Conference on Machine Learning, 2867-2889, 2022
462022
Text-to-concept (and back) via cross-model alignment
M Moayeri, K Rezaei, M Sanjabi, S Feizi
International Conference on Machine Learning, 25037-25060, 2023
432023
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